Wei Wang

ORCID: 0000-0002-3794-0464
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About
Contact & Profiles
Research Areas
  • ZnO doping and properties
  • Data Stream Mining Techniques
  • Nanowire Synthesis and Applications
  • Data Management and Algorithms
  • Physics of Superconductivity and Magnetism
  • Copper-based nanomaterials and applications
  • Anomaly Detection Techniques and Applications
  • Graphene research and applications

Dongguan University of Technology
2019-2021

Hefei National Center for Physical Sciences at Nanoscale
2006

University of Science and Technology of China
2006

In order to explore the fundamental properties of one-dimensional nanostructured high-temperature superconductors and enhance their promising applications, a universal general method for synthesis high-quality YBa(2)Cu(3)O(7-δ) (YBCO) nanowire arrays is developed, which involves combination novel sol-gel process lower crystallization temperature YBCO, porous anodic alumina (PAA) as an effective morphology-directing hard template. Field-emission scanning electron microscopy (FE-SEM)...

10.1088/0957-4484/17/16/041 article EN Nanotechnology 2006-08-07

Abstract Fabrication of patterned one‐dimensional (1D) nanostructures was recognized as the key process for construction functional display devices. In current investigation, we put forward large‐scale and uniform growth 3 C ‐SiC nanowire arrays assisted by Au catalysts on SiC wafer substrate. The as‐fabricated nanowires presented tapered configuration with a typical bamboo‐like body well clear sharp tips. nanoarray cathode has outstanding field emission (FE) characteristic that low turn‐on...

10.1111/jace.16423 article EN Journal of the American Ceramic Society 2019-03-11

Selectivity estimation aims at estimating the number of database objects that satisfy a selection criterion. Answering this problem accurately and efficiently is essential to many applications, such as density estimation, outlier detection, query optimization, data integration. The especially challenging for large-scale high-dimensional due curse dimensionality, large variance selectivity across different queries, need make estimator consistent (i.e., non-decreasing in threshold). We propose...

10.1145/3448016.3452772 article EN Proceedings of the 2022 International Conference on Management of Data 2021-06-09
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